This informative book goes beyond the technical aspects of data management to provide detailed analyses of quality problems and their impacts, potential solutions and how they are combined to form an overall data quality program, senior management's role, methods used to make improvements, and the life-cycle of data quality. It concludes with case studies, summaries of main points, roles and responsibilities for each individual, and a helpful listing of "dos and don'ts".
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Dr. Thomas C. Redman is president of the Navesink Consulting Group, and was manager of data foundations and infrastructure, and technical manager of data quality for AT&T Bell Labs. He holds a Ph.D. and M.S. in statistics from Florida State University. He is a member of the American Statistical Association, holder of a patent, and has published extensively.
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